antigravity-awesome-skills and agent-skills

These are complements—the larger collection (A) provides general-purpose agentic skills compatible with multiple platforms including Claude Code, while the specialized collection (B) focuses on skills specifically optimized for Clawdbot's particular agent architecture, allowing users to combine domain-general and platform-specific skills.

agent-skills
42
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 11/25
Community 24/25
Maintenance 13/25
Adoption 10/25
Maturity 3/25
Community 16/25
Stars: 23,847
Forks: 4,099
Downloads:
Commits (30d): 533
Language: Python
License: MIT
Stars: 213
Forks: 24
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No License No Package No Dependents

About antigravity-awesome-skills

sickn33/antigravity-awesome-skills

The Ultimate Collection of 1000+ Agentic Skills for Claude Code/Antigravity/Cursor. Battle-tested, high-performance skills for AI agents including official skills from Anthropic and Vercel.

Provides an installable skill library distributed via CLI (`npx antigravity-awesome-skills`) that places reusable markdown playbooks into tool-specific directories for Claude Code, Cursor, Gemini CLI, and others. Organizes 1,331+ skills into curated bundles and multi-step workflows, separating operating instructions (skills) from external capabilities (MCP tools) to support planning, security, infrastructure, and product workflows. Integrates with major AI IDEs and agents through both direct installation paths and marketplace plugins, enabling natural invocation syntax like `@brainstorming` within agent conversations.

About agent-skills

jdrhyne/agent-skills

A collection of AI agent skills for Clawdbot, Claude Code, Codex

Includes modular skills for analytics (GA4, Google Ads), project management (JIRA), document processing (Nutrient), and system orchestration, each with security scanning via AgentVerus to detect prompt injection and data exfiltration. Skills are organized by compatibility tier—79% work universally across OpenClaw, Claude Code, and Codex through a standardized read/write/exec interface, while platform-specific variants enable deeper integrations. The architecture supports both structured workflow tools and pure instruction prompts, with MCP server support for document automation and external API integrations.

Scores updated daily from GitHub, PyPI, and npm data. How scores work